finscope tanzania · 2019. 4. 16. · 14 finscope tanzania 2017 finscope tanzania 2017 15...

1FinScope Tanzania 2017

1720

FINSCOPETANZANIA

2 FinScope Tanzania 2017 3FinScope Tanzania 2017

1. INTRODUCTION

2. METHODOLOGY

2A SAMPLING DESIGN

2B KEY SAMPLING STATISTICS

3. FINDINGS/RESULTS

3A DEMOGRAPHICS

3B ADDRESSABILITY

3C FINANCIAL BEHAVIOUR

3D FINANCIAL INCLUSION

3E USAGE

4 CONCLUSION

Table of Contents

ACKNOWLEDGEMENTSThis research was made possible in partnership with the Bank of Tanzania, Ministry of Finance and Planning, National Bureau of Statistics, Office of Chief Government Statistician-Zanzibar as well as representatives of financial service providers and other regulators. Special recognition is given to Professor Mohammed Warsame, chair of the FinScope Tanzania 2017 Steering Committee and his vice-chair, Dr. Blandina Kilama, as well as the chair of the Technical Committee Dr. Deogratius Macha. Data collection was carried out by Ipsos Tanzania and the Technical Advisory was under Yakini Development Consulting. The report was written by Elvis Mushi, Irma Grundling, Julia Seifert and Sosthenes Kewe, edited by Constantine Manda, Lou Simpson, Neema Mosha and published by the Financial Sector Deepening Trust (FSDT).


1 IntroductionIn 2014, the National Financial Inclusion Framework (NFIF) set the stage for a national financial inclusion vision with goals for concrete improvements in the lives of all Tanzanians through improved access and use of financial services. The framework galvanized all relevant stakeholders in financial services under one common vision of success and provided strategic direction for all initiatives for financial inclusion in the country.

The NFIF is a Public Private Partnership (PPP) that used FinScope Tanzania 2013, a nationally and regionally-representative demand-side survey, to obtain baseline values and set targets for the future of Tanzania’s financial inclusion agenda. Using the survey’s data, key players in financial services set objectives for growth in financial inclusion and implemented innovative policy, product and service development strategies.

In order to assess the development of the market, the Financial Sector Deepening Trust (FSDT), in partnership with the Bank of Tanzania (BoT), Ministry of Finance and Planning (MoF), the National Bureau of Statistics (NBS), Office of Chief Government Statistician Zanzibar (OCGS), financial services providers and other private sector players and non-governmental organisations, engaged in the rigorous design, data collection, and analysis of FinScope Tanzania 2017.

FinScope Tanzania presents a comprehensive understanding of the financial services landscape across the country, a measure for demand and usage of financial services by population segments and insights into the barriers to financial inclusion.

The survey has five main objectives:

• To understand the behaviour (cash flow management, investing, saving etc.) and define the financial service needs of consumers (individuals, farmers, business owners)

• To establish credible benchmarks and measure the effectiveness of financial inclusion• To provide insights into policy, regulatory and market obstacles to access and usage

of financial services• To provide insights which will feed into innovation within the financial and real sectors• To highlight opportunities for policy review needed to drive financial sector

development

FinScope Tanzania 2017 is the fourth wave in the FinScope Tanzania series with previous waves in 2006, 2009 and 2013. FinScope Tanzania reports have been made available on the key partners’ websites (MoF, BoT, NBS and FSDT).

FinScope Tanzania surveys are implemented under the guidance of a steering committee which consists of core implementation partners, financial sector regulators, financial institutions, researchers and academics as well as economic sector stakeholders, whose mandate and operations impact on financial sector development in Tanzania.

S

B

9,459ACHIEVED SAMPLE


2 Methodology


The FinScope Tanzania 2017 survey is representative of individuals aged 16 years or older, living in Tanzania. According to the National Bureau of Statistics (www.nbs.go.tz), the size of the Tanzanian adult population (16 years and above) is currently estimated at 27,864,302 (54%) people out of the 51,598,357 projected total population. This survey considers an adult to be any Tanzanian who is 16 years or older at the time when the survey was implemented.

FinScope Tanzania 2017 mapped all financial service access points found in all the EAs (Enumeration Areas) in urban areas and within a radius of 5 kilometres (km) in rural areas. The purpose was to complement the quality of information generated by the FinScope

Tanzania study.

2A SAMPLING DESIGNA multi-stage stratified sampling approach was used to achieve a representative sample of individuals aged 16 years and older. The sample frame was based on the 2012 Tanzania Population and Housing Census. The various stages of the selection of the sample are discussed below.

The goal of the sampling was to give every person who is 16 years or older an equal and known chance of selection for interview purposes. This objective was reached by (a) strictly applying random selections at every stage of sampling and (b) applying sampling with probability proportionate to population size (PPS) at the Enumeration Area (EA)1 sampling stage.

The survey excluded anyone who was not 16 years or older on the day of the survey. The FinScope Tanzania approach selected this minimum age because it is considered the age at which people start engaging in income-generating activities. The approach adopted that of NBS, to exclude households or individuals residing in institutionalised settings, such as students in dormitories and persons in prisons, army barracks or nursing homes.

FinScope Tanzania 2017 survey sampling was conducted in three stages:

• in the first stage EAs were sampled randomly from specified strata using a PPS approach, a sampling method which takes into account differences in sample sizes across the strata and helps to avoid underrepresentation of one subgroup in a study and hence yields more accurate results;

• in the second stage households were sampled randomly from a list of all the households in a sampled EA;

• and in the third stage one adult household member (i.e. the intended respondent) was selected at random from the adult household roster.

1 An EA is the smallest geographical unit usually allocated to a single enumerator during census enumeration. In other words, it constituted a small piece of land for an enumerator to cover in order to administer a questionnaire during a census survey. An EA according to the last census is, on average, a cluster of 86 households.

As was the case with previous FinScope Tanzania surveys, the sampling design was done by NBS in consultation with the Technical Committee2.

Unlike previous FinScope Tanzania surveys, this wave did not provide for a replacement strategy of households or individuals who were unable to participate in the survey. The main reasons for non-participation were language barriers and travel.

Results from the survey can be disaggregated by main economic activity (here defined by the main source of income, such as farming and/or small business activities) as well demographics (e.g. gender, age), location (rural or urban) and the socio-economic status of adults. The scope for FinScope Tanzania 2017 has been expanded to allow results to be representative at district level for five regions in the mainland - Singida, Iringa, Rukwa, Mtwara and Mwanza. To achieve this aim, respondents were over-sampled within these five regions. The choice of regions was determined by the following criteria:

• Singida – the region with the highest level of financial exclusion as reported in FinScope Tanzania 2013

• Mtwara – a gas-rich and cashew-nut cash-crop farming region, which has experienced vast infrastructural and economic investments in recent years, but also a region with very high financial exclusion

• Iringa – an agriculture-dominated region in the Southern Agricultural Growth Corridor of Tanzania (SAGCOT) with the emphasis on smallholder farmers’ potential in value chains

• Rukwa – the region with the lowest formal financial inclusion reported in FinScope Tanzania 2013

• Mwanza – a region with unique positioning as the business hub of the Lake Zone. The main interest here is to have a detailed analysis on enterprise developments.

2 The Technical Committee had representatives from MoF, BoT, NBS, FSDT and Yakini Development Consulting (the survey’s technical advisor).


2B KEY SAMPLING STATISTICSTargeted EAs: 1, 000 Enumeration Areas, 10 Interviews per EA Achieved EAs: 998 EAs Targeted Sample: 10,000 Respondents Margin of error: Maximum 5%3 Confidence Interval: 95%4

Data collection period: April to July 2017

3 Margin of error: Depends on the level of disaggregation of data and hence the sample utilised within a certain question. The margin of error is usually defined as the “radius” (or half the width) of a confidence interval for a particular statistic from a survey. In other words, the ‘true’ population value may vary not more than this percentage. 4 Confidence Interval:A 95% confidence interval has a 0.95 probability of containing the population mean. 95% of the population distribution is contained in the confidence interval.

WEIGHTED DATA REPRESENTS:Tanzanian population who are 16 or older

2017: 27,864,302 2013: 24,231,763

95%RESPONSE

RATE

9,459ACHIEVED SAMPLE

Increase in population from 2013 (Percentage)

15%


3 Findings/Results


Proportionate to the population distribution, the results represent adults from rural (66%) Tanzania and slightly more women (51%) than men.

This section of the report seeks to describe the characteristics of the respondents interviewed for FinScope Tanzania 2017. A large part of the analysis will consider data which has been sliced by the demographic characteristics of respondents, which allows readers to understand differences between different social groups. The demographic characteristics of the sample presented in the report are based on 2017 population projection weights provided and approved by the National Bureau of Statistics.

3A. DEMOGRAPHICS: What does the population look like?

The survey reveals that adults aged 16 to 24 years are about a quarter of the adult population, the majority of whom are still dependent on others to pay their expenses, to be provided with money (37%) or involved in casual labor (21%) which does not offer them a consistent source of income. There are also high levels of dependency among adults aged 65 years and above.

Survey Demographics

of Tanzanians are within the economically-active

age ranges

66%FACT 1

Chart 1: Urban - Rural Split

34%Urban

66%Rural

Chart 2: Gender Split

51% Female 49% Male

Source: FinScope Tanzania 2017 April-July

Chart 3: Age Distribution

16-24 25-34 35-44 45-54 55-64 65-older

26% 26%

19%

14%

7% 8%



Tertiary

Secondary

Primary completed

No formal education

0% 50% 100%

3%

18%

64%

15%

A little over 2 out of 10 adult Tanzanians are likely to have at least a secondary school education. The rest have no more than primary school education and 15% have not attained any formal education. This is very important when designing financial services for them. This message is reinforced further in analysis of literacy and numeracy competencies.

Chart 4: Highest Level of Education


adult Tanzanians have no more than a primary school

education

Almost 8 in 10 FACT 2


68% of Tanzanians depend on only one income source, while the rest have more than one. 41% of Tanzanians depend on agricultural activities to meet their expenses, 20% on casual labor, 18% depend on other people and 14% on their own business activities. The 18% who are dependents are mainly women.

FinScope Tanzania does not focus on the main source of livelihood, but rather on financial inclusion, considered here as the income-generating activities that people rely on to meet their expenses. It is for that reason that the results displayed in Chart 5 appear different to those surveys which analyse the main source of livelihood.

Rural Urban

Two lowestQuintiles

Middle Quintile Two highest Quintiles

84%

16%

53%

47%

19%

81%

Chart 7: PPI Distribution by settingChart 6: PPI Distribution-grouped

Two lowestQuintiles

Middle Quintile Two highest Quintiles

58%

25%

17%

of Tanzanians fall under the two lowest quintiles, with a majority of them being in rural areas58%

Chart 5: Main Revenue - Generating Activity

Formal sector salaried

Farmers and fishers

14% BusinessOwners4%

Informal sector salaried 2%

41%

Traders - agricultural products 2%

Traders - non-agricultural 7%

Service providers 5%

Piece work/casual labour 20%

Social welfare 1%

Dependents 18%



FACT 3

41% adult Tanzanians meet the majority of their expenses Through money generated from farming activities FACT 4


In order to offer tailor-made financial services to Tanzanians, it is important to understand the profiles of those individuals. To assess the wealth status ... FinScope Tanzania used the Progress out of Poverty Index (PPI). The PPI is a statistically sound, simple, and country-specific calibrated index (for Tanzania it is based on the 2011/2012 household budget survey). The index uses scores given to answers on 10 questions about a household’s characteristics. With the PPI scores, households can be classified according to different wealth levels.

The PPI scores households into five equal levels as follows:• First Quintile (0-20)• Second Quintile (21-40)• Third Quintile (41-60) • Fourth Quintile (61-80)• Fifth Quintile (81-100)

The first and last intervals generated small samples. These have been combined as follows: • Intervals 1 and 2 are combined• Intervals 4 and 5 are combined

Chart 8: PPI Distribution

Num

ber o

f Hou

seho

lds

with

this

PPI

sco

re

Households PPI score

0 20 40 60 80 100

However, it is important to note that by dividing the PPI score in five equal levels, the wealth levels shown here provide an indication of relative wealth within the sampled population; while measures of absolute wealth, such as poverty lines, anchor sample populations poverty to a universal standard.

Based on the respondents’ self-reported income, the table below displays monthly income in TZS as well as daily income in USD. While comparing mean income values with median (middle value) income values, it becomes evident that income varies greatly within the quintiles and hence the median value provides a better projection of the reported income level for each of the respective quintiles.

84%are coming from rural

areas

(THE MAJORITY)

Rural Urban

58% of tanzanians fall under the “two lowest quintiles” with

Tanzania Shillings per month

US Dollarsper month



B. ADDRESSABILITY: Can adult Tanzanians be served by financial service providers?For Tanzanian adults to be served by financial service providers, certain eligibility criteria

need to be met. This section looks at consumers’ literacy and numeracy skills, proximity to

financial service providers, assets ownership and Know-Your-Customer (KYC) requirements.

Chart 9: Language Barrier

LANGUAGE OF THE CONSUMERKISWAHILI

Can only read

Can neither read nor write

Can read & write

72%

3%

25%

Kiswahili

66%

7%

27%

English


LITERACY ASSESSMENT BASED ON TEST ADMINISTERED:LITERACY QUESTION 1: This may sound very basic to you, but this is just a routine question for us and I will appreciate your cooperation. Please read each question on this card out loud to me and write the answer to each. (Interviewer Instruction: Use Showcard)

SENTENCE DISPLAYED: Unapenda chakula gani? Andika Jibu:

LITERACY QUESTION 2: Now let us do the same for English. (Interviewer Instruction: Use Showcard)

SENTENCE DISPLAYED: Do you have a dog? Write Answer:

Addressability


In order to serve the majority of the population, financial service providers need to know which language consumers are more comfortable with. It is in line with that, that the survey presented the respondents with basic English and Kiswahili questions to read and respond to in writing. As can be seen in Chart 9, the results reveal that most Tanzanians are more literate in Kiswahili than English. Furthermore, Tanzanians are more comfortable with addition and subtraction while they have difficulties in multiplication and division (see chart below).

Chart 10: Numeracy Skills

Adult Tanzanians can add and subtract but few can mutliply and divide

FACT 1

NUMERACY ASSESSMENT BASED ON TEST ADMINISTERED:Numeracy Question 1: A person spent TZS 13,000 to buy food one day but only TZS 8,000 the next day. How much did they spend to buy food over the two days?

Numeracy Question 2: A person has TZS 50,000 in cash and spends TZS 13,000 on food and TZS 8,000 on clothing. How much money is remaining?

Numeracy Question 3: 20 people each won a prize of TZS 35,000. What was the total amount of money received by the 20 people?

Numeracy Question 4: A prize of TZS 180,000 is shared equally between six people. How much will each person receive?

Chart 12: 10% adult Tanzanians have some sort of land

ownership documentation. What documentation do they have?

Letter from local government

Letter from village head

Title Deed/CRO (Certificte of Right

of Occupancy)

of Tanzanians claim to have a title deed

Only 3%FACT 2

Source: FinScope Tanzania 2017 April-JulySource: FinScope Tanzania 2017 April-July

71%+

59%-

40% 46%

Adult Tanzanians can add and subtract but few can multiple and divide

4%

3%

3%

Chart 11: Do they own the land they live on?

Yes, personally owns the land

Yes, owns the land with someone else

No

6%

37%

57%

Asset ownership is key to accessing both long and short-term credit from a majority of financial service providers. In order to assess whether adult Tanzanians own assets and have a proof of ownership of those assets, we asked respondents if they owned the piece of land they live on. 37% of Tanzanian adults own the land they live on in sole ownership. While almost half of Tanzanian men are sole owners of the piece of land they live on, less than a third of Tanzanian women own the land they live on. Co-ownership in females (9%) is observed to be higher than among their male counterparts (2%).

When asked if they have documentary proof of ownership, only 10% of adult Tanzanians reported having any documentation and only 3% have a title deed; no gender specific differences have been observed.


All formal financial service providers require their customers to have a recognised form of identification. FinScope Tanzania sought to identify the form of identification that the majority of respondents possessed, and the results show that 84% of Tanzanians have at least one form of identification, with the majority having a voter ID card. Meanwhile, 71% of Zanzibaris have a Zanzibar resident ID.

Though possession of a voter ID card raises the number of adults with valid identification significantly, the cards are not regularly updated. There are loopholes in existing KYC procedures as young adults (those who turn 18 after the year of election), as well as those that have misplaced their IDs, have to wait for the next election to be registered and acquire an ID.

Chart 13: Do you have?National ID

Voter ID card

TASAF ID card

Driver’s Licence

Passport

9% 83%

3% 5% 2%

Zanzibar Resident ID N=Zanzibar only 71%


Findings from FinScope Tanzania indicate that one of the main drivers of access to financial services in Tanzania has been the take-up of digital financial services which require mobile phone ownership, a registered mobile money wallet or access through a third-party.

A key factor in phone ownership is living in an area with network reception. Mobile phones were used during data collection to assess network reception in all the enumeration areas visited. 95% of the EAs were found to have network reception.

93% of the respondents have access to a mobile phone, while 80% live in households with a mobile phone.

Given the difficulty of accessing mobile financial services through a phone owned by someone else, respondents were asked if they themselves owned a phone. 63% of adult Tanzanians own a phone, while 4% have a SIM card which they insert in other peoples’ phones. Groups which are less likely to own a phone or a SIM card include adults from poor households, people living in rural areas, young people and farmers.

Network Reception

Access to mobile phone

95%

HH membership owns mobile phone

Owns a mobile phone

Owns SIM card only

93%

80% 63%

4%

26%

Chart 14: Do you have access to?

Access to internet


FACT 3

(IDENTIFICATION)BASIC ID is not a major barrier

to accessing financial services

of adult Tanzanians own a mobile phone 63%

FACT 4


In previous FinScope Tanzania surveys, whenever respondents were asked why they did

not take up financial services, the majority of those living in rural areas mentioned that the

services were far from them. It is for this reason that this time, FinScope Tanzania mapped

all financial service providers in the randomly selected enumeration areas (EAs) and those

which are in a 5km radius in rural areas. FinScope Tanzania 2017 shows that 78% of Tanzanian

adults in rural EAs have a financial access point within a 5km radius1. Nationally, 86% of

Tanzanian adults live within a 5km radius of a financial access point.

The 2017 results indicate a 12% increase of people living within a 5km radius of a financial

access point in rural areas. When overlaying the 2014 GIS Census of financial access points

with the FinScope Tanzania 2017 EAs, only 66% of people were within reach.

The majority of financial service providers found within a 5km radius of the EA were mobile

money agents. 55% of mobile money agents provide services for multiple providers. It is

also worth noting that almost two thirds of the mapped bank agents are also mobile money

agents, which is another indication that the financial sector is deepening rather than widening.

1 From the 2014 GIS Census of financial access points it has become evident that 96% of the urban population is within a 5km radius of a financial access point; it is assumed that this number has now gone up to 100%

of adult Tanzanians in rural areas live within a 5km radius of a formal financial access point

About 78%

FACT 5

Map 1: Tanzanians living within 5km of a financial access point


Dark green: relatively high % of people living within 5km of a formal financial access point;

Light green: relatively low % of people living within 5km of a formal financial access point

Mara86

Simiyu62

Tabora52

Singida77

Dodoma94

Morogoro80

Ruvuma67 Mtwara85

Lindi75

Pwani93

Manyara86

Tanga95

Kilimanjaro96Shinyanga

66

Mwanza92

Geita94

Kigoma100

Katavi75

Rukwa78

Arusha78

Iringa89

Njombe98

Mbeya94Songwe

91

Dar es Salaam100

Kaskazini Pemba91

Kaskazini Unguja92

Kusini Unguja100

Mjini Magharibi98

Kusini Pemba89

Lake Victoria

Lake Rukwa

Lake Rukwa

Lake Natron

Lake Eyasi

Lake Manyara

Lake Rushwa

Kagera85

Lake Tanganyika

Lake Nyasa


Financial Behaviour


FACT 2C. FINANCIAL BEHAVIOUR: How do Tanzanians manage their finances?Previous sections stated who FinScope Tanzania talked to and whether or not they can be served by a range of financial services providers. This section of the report goes a little deeper into understanding how Tanzanians manage their finances.

Chart 15: How is personal revenue generated and how frequently is money received from these sources of income?

Money from trading (incl. farmers)

*orange boxes show frequency of receipt of income

Place work/Casual labour/Occasional jobs

Salaries/wages

Money from providing a service

Rely on others to give/send money

Don’t get money - someone else pays expenses

Other

Seasonally

Daily/Weekly or Seasonally

Monthly

Daily or Weekly

Occasionally

59% 34%

7%

6% 17%

7% 4%


FinScope Tanzania asked respondents how they generate revenue, to which more than half (59%) responded that they make money from trading (including farm products). For each of the revenue - generating activities, the frequency by which they receive the money was assessed. Results showed that the frequency differed from one activity to another, and only those that reported receiving salaries have a constant income stream.

Chart 16: What is the most important payment to make when you get money? (excluding food and clothes)

Medical & educational expenses are regarded as priority expenses

Medical expenses

Buying household goods

School/tuition fees

Rent

Building/construction- Roofing

Save/savings contributions

Fuel for the household

Buying livestock

Agricultural expenses-inputs, Land preparation

Electricity bills

Buying land/plot

11%

10%

8%

7%

7%

6%

6%

3%

2%

2%

2%


FACT 1Tanzanians do not have consistent sources of income

Excluding food and clothing, the survey sought to find out the adults’ priorities regarding expenses. As can be seen in Chart 16, medical and education expenses ranked first and second. The two were closely followed by rent, building and savings contributions. Further analysis indicates that the highest priority expense for Dar es Salaam and other urban areas is rent, followed by education. When probed further about their aspirations, the majority of adult Tanzanians wish to buy a house or land, if they had the money (see Chart 17 over).


Chart 17: Can you think about something that you would like to buy but cannot afford?

Others

House

Land/farm

Business

Car/other vehicle

Livestock

Have not thought about this yet

Education

Transportation (Bicycle/ BAJAJI/ Motorcycle)

Large household appliances

Farming equipment

Mobile phone

40%

19%

9%

7%

6%

4%

3%

3%

3%

3%

1%

3%



CHART 18: PERCENTAGE OF ADULTS WHO OFTEN/ALWAYS STRUGGLE

Male Female

48%45%

54%50%

59%56%

44%41%

33%30%

Two lowestQuintiles

Two highestQuintiles

Middle Quintile

When asked whether they struggle with keeping up with regular as well as unexpected expenses, respondents reported struggling to meet both, the former more so than the latter. It is evident from the analysis that adults from the two lowest quintiles and farmers are more likely to struggle to meet their expenses; the same groups who also receive their income least regularly.

Unexpected ExpensesRegular Expenses

Farmers/Fishers

Businessowners

56%

52%

45%43%

Yout

h

REGULAR EXPENSES40% UNEXPECTED EXPENSES 37%REGULAR EXPENSES51% UNEXPECTED EXPENSES 48%

All A

dults


Chart 19: When you see that you are going to run out of money, how do you ensure you cope until you get money?

When asked how they behave when they start running out of money, more than half (56%) of respondents reported reducing expenses (see Chart 19). When further asked what they would do if faced with an unexpected expense, 4 in 10 adult Tanzanians ask family and friends to assist (see chart below).

56%

Cut down on expenses

Use savings

56%

3%

13%

8%

6%Cut down on meals

Ask family/friends to assist

Borrow money


Chart 20: If you should have an unexpected expense tomorrow, how would you cope?

Borrow money from family/friends

Use savings

Sell crops

Haven’t thought about it

Sell livestock/poultry kept for this purpose

Do casual work/work more

Sell an asset bought for this purpose

Use insurance cover

40%

2%

2%

7%

8%

9%

13%

19%


Tanzanians struggle to keep up with both regular and unexpected expenses

FACT 35 in 10Adult

of Tanzanian adults cut down on expenses when they are about to run out of money

FACT 4


Although 77% of Tanzanians claim to report keeping track of what they receive and spend, only 50% know how much they spent in the past week. This result does not differ across wealth status as observed across quintiles. Respondents adjust their expenses according to the money they have.

Chart 21: Do you...?

You keep track of money that you receive and spend

You know how much money you spent last week

You adjust your expenses according to the money you have

You often have to spend more money than you have available

National Two lowestQuintiles

Middle Quintile

77%

50%

85%

15%

81%

55%

87%

16%

79%

51%

85%

17%

73%

45%

84%

13%

Two highestQuintiles


Chart 22: How do Tanzanians aged 55 and below plan for retirement?

Almost a quarter (24%) of respondents aged 55 years and younger reported having a retirement plan. On the other hand, 19% mentioned that they would rely on farming activities, 18% that they would rely on their children to take care of them, 18% that they are saving for retirement and only 2% reported that they will depend on their pension. This evidence provides great opportunity for designing solutions that help people to meet their long-term goals.

A quarter of adults aged 55 years and below have no retirement plans4

4 Here retirement is referred to as “not working or working less due to old age”

24%Don’t know/have no plansFarming/agriculture/livestock

Savings

Children will take care

Own business

Land/property

Money from friends/relatives

Pension

Rental income

19%18%18%

9%

6%2%2%

1%


Of adult Tanzanians know how much they spent in the previous week

FACT 5

50% FACT 6


Financial Inclusion


D: FINANCIAL INCLUSION: Which channels are people accessing?One of the key objectives of FinScope Tanzania is to track progress in uptake and usage of financial services. Section 3B of the report looks at the core enablers of taking up financial services, while Section 3C looks at the way Tanzanians behave with their finances, with some discussion of the channels that people use to manage their finances. This section looks at the range of financial services accessed by adult Tanzanians.

FACT 1Formal Financial Inclusion

has grown from 58% to 65%

Have or use bank services

Don’t have / use formal services but use informal services

Don’t have or use bank services but have / use other formal servicesFinancially excluded

Source: FinScope Tanzania 2017 April-July, FinScope Tanzania 2013 and FinScope Tanzania 2009

Chart 23: Uptake of Financial Services

FINANCIAL INCLUSION BY DEMOGRAPHICS


Don’t have or use bank services or use other formal servicesFinancially excludedDon’t have or use formal services but

use informal services


Gend

erAg

e Gr

oup

Setti

ngM

ain

Inco

me

Gene

ratin

g Ac

tivity


People who are formally included are considered to be individuals aged 16 years or older who have or use financial products and services provided by a financial service provider that is regulated or officially supervised. Individuals considered informally included are individuals aged 16 years or older who use financial mechanisms not provided by a regulated or supervised financial institution.

People who are financially excluded are considered to be individuals aged 16 years or older, who use no financial mechanisms and rely only on themselves, family or friends for saving, borrowing and remitting, with their transactions being cash-based or in-kind.

FinScope Tanzania 2017 finds that 65% of the adult population in Tanzania is formally financially included. This is 14% growth from 2013. Furthermore, dependency on informal financial services only is now slightly less than half of its a percentage in 2013, from 16% to 7%. Financial exclusion rates remain constant from 2013 to 2017, as the difference is within the survey’s margin of error.

Formal financial inclusion rates vary greatly across Tanzania, from 35% formal financial inclusion in the Zanzibar Archipelago and 39% in Simiyu to 90% and 91% in Kilimanjaro and Dar es Salaam respectively. Interestingly, though overall levels of formal financial inclusion are low in Zanzibar, bank uptake is similar to bank uptake within the Mainland (Financial Inclusion by Region chart is annexed).

OF ADULTSFROM ZANZIBARARE FINANCIALLY

EXCLUDED

43% If compared to other nations, Tanzania is highly ranked in terms of formal financial inclusion (see Chart 28).

Map 2: Distribution of formal financial inclusion across all the regions

Dark blue: Relatively high % of people are formally financially included

Light blue: Relatively low % of people are formally financially included Source: FinScope Tanzania 2017 April-July

Mara56

Simiyu39

Tabora48

Singida48

Dodoma67

Morogoro64

Ruvuma60 Mtwara63

Lindi63

Pwani73

Dar es Salaam93

Manyara48

Tanga69

Kilimanjaro90Shinyanga

59

Mwanza69

Geita64

Kigoma59

Katavi53

Rukwa54

Songwe59

Arusha74

Iringa78

Njombe77

Mbeya63

Kaskazini Pemba29

Kaskazini Unguja23

Kusini Unguja50

Mjini Magharibi62

Kusini Pemba36

Lake Victoria

Lake Rukwa

Lake Natron

Lake Eyasi

Lake Manyara

Lake Rukwa

Lake Rushwa

Kagera62

Lake Nyasa

Lake Tanganyika


FACT 2

10% TZSUptake of mobile

moneyhas grown - point from 2013

Chart 25: Uptake of Formal Financial Services

Chart 26: Uptake of Informal Financial Services

Capital Markets

Mobile money services

Pension services

MFI/microlender services

SACCOS

60%50%

Insurance services15%

13%

Commercial bank services 17%14%

4%3%

7%2%

2%3%0.01 %0.04% 2017 2013

3%

16%

12%

4%

Savings Groups

InformalMoneylender

Shop & SupplyChain Credit

25%

12%

Source: FinScope Tanzania 2017 April-July and FinScope Tanzania 2013

A majority of respondents (60%) reported taking up mobile money services, which reflects a 10%-point increase from 2013. As in 2013, banking services were the second-most taken up service, followed closely by insurance services. That said, it should be noted that the low increment in bank service uptake can be attributed to the collaboration between banks and mobile money providers in introducing digital credit models in the market. Similarly partnerships between MFIs and mobile money service providers led to a 5%-point increase in MFI uptake. Nevertheless, the most significant change is among the take up of mobile money services.

On the other hand, the uptake of informal savings groups showed an increase from 2013, with 4% more people joining savings groups. It is, however, important to note that supply chain and shop credit reduced drastically by 13% points.

The above statement is also a reflection of financial service uptake overlaps. Usage of informal mechanisms dropped from 44% in 2013 to 30% in 2017.

Chart 24: Ranked comparison of financial inclusion in Sub-Saharan Africa

Informal only Financially excludedFormal

86%

75%

69%

68%

68%

65%

64%

54%

48%

38%

36%

34%

24% 16%

3%

7%

8%

8%

21%

7%

9%

31%

10%

21%

12%

15%

11%

18%

23%

24%

11%

28%

27%

15%

42%

41%

52%

51%

60%

South Africa 2016

Mozambique 2014

DRC 2014

Zambia 2015

Swaziland 2014

Uganda 2013

Nigeria 2016

Tanzania 2017

Rwanda 2016

Botswana 2014

Zimbabwe 2014

Malawi 2015

Kenya 2016

Source: FinScope / FinAccess for each country as by year indicated


THE TABLE BELOW REPORTS VALUES AND PREFERENCES

OF DIFFERENT FINANCIAL INSTRUMENTS:

Safety of moneyis high

Banks MFIs SACCOs Mobile Money Insurance

VALUED FOR

Easy access to loans

Interest on loans is too high

Two lowest quintiles–Services are offered far from respondents

Two highest quintiles – Feel that the services offered are not suitable for them

Guarantors for loans

Social funds

Two lowest quintiles–Can sell shares for profit

Quick &easy to use

Network failures

Peace of mind since it covers unexpected expenses

Respondents indicate low levels of trust in the insurance companies to honour claims if something goes wrong

Not suitable for respondents’ needs

Two lowest quintiles –services are offered far from respondents


CONCERNS

24.2

Have/Use Bank Services

Individuals with Mobile Money

services

Numbers displayed in millions

2017

2013

The chart below shows that between 2013 and 2017, the total number of adults using financial services has grown by 15%, while those that take up banking and mobile financial services has grown by 37% and 38% respectively.

Considering the number of mobile wallets as reported by the FinScope Tanzania respondents, it becomes evident that about 26% of all mobile wallet owners utilise multiple mobile wallets.

27.9

3.4 4.7

16.6

12.1

3.2 4.2 0.7 4.21.1 0.7 4.20.61.9

0.5

Insurance Pension MFI SACCOS

NB. Figures for capital markets are too small to be displayed; they are below 1% of the population

Chart 28: Number of people taking up different financial services

15%

37%

38%

33% 53%302%

- 23%


Population (16+)

Chart 27: Overlaps in financial service/product uptake(Numbers displayed are in millions)


Bank Non-bank formal

Informal mechanism

0.08

0.08

1.87

4.501.99

2.50 9.04

7.79 FINANCIALLY EXCLUDED


of adult Tanzanians saved in the past 12 months

FACT 1

E: USAGE: What are people doing with their money?This section will expand on what mechanisms Tanzanians are using to manage their cash flows (saving, borrowing, family or friends remittances), investment needs and asset building and which risk-coping mechanisms they rely on.

Savings are defined as money put aside for a specific purpose and using such a definition, FinScope Tanzania results show that 43% of adult Tanzanians saved in the last 12 months. The majority of respondents are saving for cash-smoothing purposes. Less than 20% of the respondents are saving for asset building and productive investment.

Chart 29: Why are they saving? Base = Those who save

ASSE

T BU

ILDI

NG9%

2%

2%

45%

18%

11%

CAS

HFLO

WSM

OO

THIN

G82

%

PRO

DUC

TIVE

IN

VEST

MEN

T9%

Living Expenses

An emergency other than medical

Medical expenses either planned /emergency

Funeral expenses when needed

Education or school fees

Farming expenses

Business expenses

Starting / expanding business

Buying /building a house to live in

Buying land

Buying livestock

Retirement or old age

4%

6%3%

2%

4%

2%

1%


43%

Usage


44% of Tanzanians borrowed in the past 12 months. Once again, most of them borrowed to smooth their cash flow. Compared to the proportion of saving for productive investment, there is a greater proportion of borrowing for productive investment.

The observation that almost three quarters of borrowing is linked to cashflow smoothing becomes emphasised when considering the frequency of borrowing, as 59% of those borrowing borrowed more than once in the last 12 months.

ASSE

T BU

ILD

ING

7%

7%

2%

24%

23%

14%

CAS

HFLO

WSM

OO

THIN

G 74

%

PRO

DUC

TIVE

IN

VEST

MEN

T19

%

Medical expenses / medical emergencies

Living Expenses

An emergency other than medical

Education or school fees

Funeral expenses

Other cash flow regulating expenses

Starting / expanding business

Farming expenses

Business expenses

Buying, building improving a house to live in

Buying land (farm / living)

Buying livestock

8%

4%2%

10%

4%

1%

1%

CHART 31: Why do they borrow? Base = Those who borrow

of adult Tanzanians borrowed in the past 12 months 44%

FACT 3


Chart 30: Where are people saving? Base = Those who save

14%

2017 2013

Though most Tanzanians who save still save at home, a significant increase in the proportion of those who save using their mobile phones can be observed. As well as the increase in mobile wallets, there is also an increase in membership of informal savings groups. Quick access and safety of money were the main drivers for their choice of savings channels.


- point increase in people saving on mobile wallets

FACT 2


CHART 33: How do Tanzanians receive an income? Through ...

IN TERMS OF RECEIVED & OUTGOING PAYMENT, CASH IS STILL KING

When asked how they receive income and make payments, an overwhelming majority of the respondents mentioned doing so using cash. It is very clear that, as most money received is in cash, most outgoing payments are also likely to be made using cash.

CASH BANK MOBILEMONEY

89%

4% 4%


FACT 5

The payment space is largely untapped

MobileMoney

21%

4%

0.4%

0.0%

0.0%

0.01%

0.2%

0.0%

0.05%

0.3%

1%

1%

0.1%

3%

0.03%

75%

99%

98%

97%

CHART 34: How do they make payments?

GRO

CERI

ESSC

HOO

L FE

ESM

EDIC

AL T

REAT

MEN

TPA

Y RE

NTBU

Y AI

RTIM

E

Cash Bank Other


99%

CHART 32: Where do they borrow? Base = Those who borrow

2017 2013

As was the case with the last FinScope Tanzania Survey, people are still borrowing from family and friends, due to quick access to money. Formal borrowing remains low and mobile money credit products increased their range and base.


Friends and family remain key sources of credit

FACT 4

Religiousorganisation


Frequent usage of formal financial services is still limited, with only 6 in 10 Tanzanians accessing their financial services within the past 30 days. Mobile money services stand out as being not only the formal financial service with the widest reach, but also the service more frequently used than other options.

Nevertheless, usage is the key driver to deepen uptake and adoption of formal financial services.

72%

73%

67%

82%

64%

58%

59%

59%

% usage (90 days) % active usage (30 days)

Banks

Mobile money services

SACCOs

MFI/microlenders

Chart 36: Recency of financial service usage


FACT 7

financial service users use their wallets actively

6 out of 10

48%Community Health Insurance (CHF)

National health insurance fund (NHIF)

TIKA (Tiba kwa Kadi)

Private health insurance

Motor vehicle insurance

Social Health Insurance Benefit (SHIB)

Personal accident insurance

Life insurance

Other

39%

5%

4%

4%

2%

1%

1%

3%

The insurance market is dominated by usage of health insurance products, followed by motor vehicle insurance, which is a legal requirement. Interestingly, the percentage of responders who use TIKA underlines insurance services’ unique position of serving multiple people under the umbrella of one insurance policy holder. This shows the growth of insurance products and services that are quick and easy to use and, thus, more attractive to those less likely to be self-insured.

Though other needs and hardships have been identified in the market, insurance products seem to have only registered within unexpected expenses (see Section 3C) or due to regulatory constraints (e.g. motor vehicle insurance).

The take-up of social security protection is also skewed towards enforced product adoption. Of the 1.1 million Tanzanians with pensions, 84% do so because it is a requirement by law. They are mainly male, living in urban areas, from non-poor households and most likely found in Dar es Salaam.

Chart 35: What insurance products are people using? Base = Only those insured

Medical insurance leads insurance usage

FACT 6


Further analysis shows that only slightly above a quarter (26%) of people who are financially excluded claim to have saved in the past 12 months and the majority keep their money in a safe place at home or have given it to family or friends for safe keeping. Slightly less than a quarter (24%) of people who are financially excluded borrowed in the past 12 months and were almost solely reliant on friends and family.

In addition, 22% of people who are financially excluded use other forms of cash flow management, including the purchase of goods and livestock (e.g. a chicken) with the intention of selling it for profit when needed. This also represents an investment in a potential income-generating activity in the future (8%).

THE TABLE BELOW REPORTS WHY THEY ARE EXCLUDED


Insufficient income to even consider opening an account

Banks MFIs SACCOs Mobile Money Insurance

Lack of awareness of how MFIs operate and where they are located

Insufficient income to become a MFI customer

Lack of awareness of how SACCOs operate, how to join them and where they are located

Membership fee is perceived to be too high

Non-users state that they do not engage in frequent transactions and hence do not need it

Non-users do not have the necessary device, a phone, to be able to use services

Lack of awareness of how insurance services work and how to obtain them

Perceived high cost of insurance and inability to afford insurance payments

Cannot maintain minimum balance on the account, due to insufficient income

PRIMARY BARRIER

SECONDARY BARRIER

Chart 37: Who is being left behind? Base = excluded only

Generally, there have been no changes in the overall levels of exclusion, shown by the 2017 survey results of 28% of the adult population who are financially excluded.

Most of the respondents who are financially excluded come from the two lowest quintiles and are from rural Tanzania, where proximity to financial services is lower. They are also more likely to be women, farmers, young people and dependents. However, those who are most prone to exclusion are people with no formal education in rural areas.

25% of people who are financially excluded do not have any form of identification which by default restricts them from accessing formal financial services directly.

Furthermore, a moderate negative correlation between proximity and exclusion has been observed; whereby regions with a lower percentage of people living in a sub-village/street with a financial access point show higher levels of exclusion than their well covered counterparts.

Rural

From two lowest quintiles

Female

Farmers and Fishers

Youth (16-25 years)

Dependents

55%

79%76%

24%

47%

33%


FACT 8People in rural areas and adults from lowest quintiles are more likely to be excluded


Tanzania has made remarkable progress in expanding the opportunities for people to use financial services. Formal inclusion has reached 65%, growing by 14% between 2013 and 2017. Mobile financial services continue to make a higher contribution (60%) to usage compared to other channels. It is worth noting the modest growth in both banking services (14% to 17%) and insurance uptake (13% to 15%) as well as the significant reduction in the reliance on informal mechanisms.

ADDRESSABILITY

Over the past three years, improvements in accessibility of financial services have been impressive. Greater proximity of financial services to where people live and greater access to mobile phones have made considerable contributions to this phenomenal growth. The proportion of the rural adult population living within 5km of an access point has now reached over 78% (nationally at 86%), signifying that the barrier of distance, reported to be critical by a majority of respondents in the 2013 survey, has now eased. The increased adoption of mobile phones within households (now at 86% countrywide) allows people to access mobile financial services more conveniently. These developments provide an opportunity for Tanzania to deepen the financial system by leveraging technology to drive up usage and reduce transaction costs.

Notable progress has been made in providing proof of identification, with the majority of people (83%) now using voter ID cards as the main form of identification when registering for services from financial providers. There are, however, two key challenges with relying on this form of identification. First, the fact that voter ID cards are only issued before elections, meaning it could take five years for some young people to enter the adult category, have any form of identification and therefore be eligible to use financial services. Second, the difficulty in verification as part of the KYC requirements, which potentially limits more frequent usage of financial services. The future for financial sector development and the economy in general is therefore placed on the National Identification System to deliver the most modern, reliable, secure and verifiable ID system.

UPTAKE AND USAGE

Whilst the usage of financial services through formal providers has grown, the most popular way to make and receive payment is still cash. The proliferation of digital wallets is yet to replace this reality. The results show that a good number of people are saving using mobile platforms (35%), which could help explain the reduction in the number of people keeping their money at home.

Conclusion


challenges in making sophisticated financial investments, if a considerable amount of available financial assets is required for kin tax contributions. Perhaps there is a need for further exploration within these segments to develop interventions to build their capacities to generate income.

OUTLOOK

Looking ahead, there are great opportunities to deepen the financial sector by expanding the uptake and utilisation of financial solutions. The drive for improved financial inclusion will need to consider appropriateness of solutions proposed, plus the convenience and affordability as determined by users. Building on people’s aspirations, there are opportunities to expand insurance, particularly health-related, pension solutions, payments, capital markets products, in addition to developing the savings and credit markets. Pursuing economic efficiency and growth will undoubtedly require rethinking of the design and implementation of financial sector policies and regulations to ensure they also encourage and support increased usage of financial services. Improved financial inclusion is essential to achieving Tanzania’s development goals.

There are signs, too, of an emerging market in accessing digital credit (e.g. M-Pawa, Timiza, Tigo Nivushe) which shows growth potential through savings orientation and data analytics. Mobile solutions are also beginning to be used to make payments (for school fees, bills, groceries, etc.) which provides an opportunity to expand the remit of the current digital space to allow many people, including small holders, women, small enterprise owners, and those living in rural areas, to use digital solutions that are appropriate and affordable.

FinScope Tanzania 2017 has provided valuable insights on peoples’ financial behaviour and how it relates to their daily lives. It is evident from FinScope Tanzania data that many people face challenges of cash flow management, coping with risks and fulfilling aspirations for asset building and productive investment. Such insights into the daily struggles and future aspirations of many Tanzanians provide an opportunity for financial services providers to design solutions that prioritise customers’ needs. For customers with access to financial services and products, key concerns are suitability and affordability which raise issues for service providers of how to maintain affordable transaction costs. In summation, it is as important as ever to encourage and support innovation and partnerships between key players to deliver financial services that are convenient and affordable.

One main challenge which remains is how to address the financially excluded proportion of the population. Rural people, small holder farmers, younger people and women are still left behind in greater proportions compared to other segments. Although proximity and access to mobile wallets are no longer the major constraints, the reality for many people who are financially excluded can partly be explained by the growth in the population without reliable identification. Of those that are excluded (28%), a quarter do not have identification documents.

WHO IS LEFT BEHIND?

Lack of literacy and financial incapability were reported to be among the main challenges to improved financial inclusion. Illiteracy continues to be one of the main barriers to uptake and usage of financial services to date. Concerted efforts are still necessary to address this challenge, especially among the younger generation.

Low and inconsistent cash flow appears to significantly limit many people in engaging in financial systems. Half of the respondents mentioned struggling to keep up with their expenses, both regular and unexpected. A popular mechanism for coping with financial needs is borrowing from friends and family. This translates into a significant tax on economically productive members of these networks of families and friends. Dubbed by economists as “kin” tax, this arrangement also presents


AnnexKEY DEFINITIONSFinancially Included - Individuals 16 years or older who have or use financial products and services to manage their financial lives

Financially Excluded - Individuals 16 years or older who use NO financial mechanisms - rely only on themselves/family/friends for saving, borrowing and remitting; their transactions are cash-based or in-kind

Formally Included - Individuals 16 years or older who have/use financial products/ services provided by a financial service provider that is regulated or officially supervised

Informally Included - Individuals 16 years or older who use financial mechanisms not provided by a regulated or supervised financial institution

ABBREVIATION BoT Bank of TanzaniaEA Enumeration areaFSDT Financial Sector Deepening TrustHH HouseholdKYC Know-Your-CostumerMFI Microfinance InstitutionMoF Ministry of Finance and PlanningNBS National Bureau of Statistics NFIF National Financial Inclusion FrameworkOCGS Office of Chief Government Statistician ZanzibarPPP Public Private PartnershipPPS Proportionate to Population SizeSACCO Savings and Credit Cooperative Organization


FINANCIAL INCLUSION BY DISTRICT FOR DEEP DIVE REGIONS

Don’t have or use bank services but have or use other formal services

Financially excludedDon’t have or use formal services but use informal services



Kaskazini Unguja

Kaskazini Pemba

Kusini Pemba

Simiyu

Tabora

Singida

Manyara

Kusini Unguja

Katavi

Rukwa

Mara

Kigoma

Songwe

Shinyanga

Ruvuma

Mjini Magharibi

Kagera

Mbeya

Lindi

Mtwara

Morogoro

Geita

Dodoma

Tanga

Mwanza

Pwani

Arusha

Njombe

Iringa

Kilimanjaro

Dar es Salaam

FINANCIAL INCLUSION BY REGION

Have / Use other formal services

Financially excludedHave / Use informal services only

Have / Use bank services


68 FinScope Tanzania 2017

Ministry of Finance

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